2022 年 7 月，我们发布了几乎所有已知科学目录中蛋白质的 AlphaFold 蛋白质结构预测。在此阅读最新博客。 蛋白质对生命至关重要，支撑着几乎所有的生命功能。它们是由氨基酸链组成的大型复杂分子，蛋白质的功能很大程度上取决于其独特的三维结构。弄清楚蛋白质折叠成什么形状被称为“蛋白质折叠问题”，并在过去 50 年中一直是生物学的一个重大挑战。在一项重大科学进展中，我们最新版本的 AI 系统 AlphaFold 被两年一度的蛋白质结构预测关键评估（CASP）组织者认可为这一重大挑战的解决方案。这一突破展示了 AI 对科学发现的影响及其在解释和塑造我们世界的一些最基础领域中显著加速进步的潜力。 蛋白质的形状与其功能密切相关，预测这种结构的能力有助于更深入地理解其功能和作用方式。许多世界最大的挑战，如开发疾病治疗方法或寻找分解工业废物的酶，从根本上都与蛋白质及其作用相关。
In July 2022, we released AlphaFold protein structure predictions for nearly all catalogued proteins known to science. Read the latest blog here. Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein folding problem”, and has stood as a grand challenge in biology for the past 50 years. In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP).
核心贡献 · Key contributions
AlphaFold 达到中位 GDT 得分 92.4，与实验方法相当。 AlphaFold achieves median GDT score of 92.4, rivaling experimental methods.
解决了 50 年来的蛋白质结构预测重大挑战。 Solves the 50-year grand challenge of protein structure prediction.